全球物流自动化市场规模：按地区、范围和预测

物流自动化市场规模及预测

预计2023年物流自动化市场价值将达到816.8亿美元，到2031年预计将达到2029.3亿美元，预测期内（2024-2031年）的复合年增长率为13.29%。

物流自动化是指应用软体和自动化机器等先进技术来简化、管理和最佳化物流和供应链领域的各种流程。主要目标是提高效率、减少人为错误并确保更快、更准确的交付。自动化工具可以部署在多个层面，从库存管理和仓储到运输和订单履行。

在物流自动化领域，自动导引车(AGV)、无人机、机器人和传送系统等技术处理实体任务，而仓库管理系统(WMS)、运输管理系统(TMS) 和人工智慧(AI)软体人工智慧等解决方案优化了规划和执行。这些技术有助于满足消费者对更快交货时间日益增长的需求，提高营运效率并降低劳动成本。

透过自动执行重复且耗时的任务，物流自动化减少了人为干预，最大限度地降低了错误风险，并实现了即时数据监控和决策。因此，公司可以提高整个供应链的绩效、提升客户满意度，并在敏捷性和精确性至关重要的快速发展的市场中保持竞争力。

全球物流自动化市场动态

主要市场驱动因子

电子商务爆炸式成长与数位转型：电子商务爆炸式成长和数位转型加速了对物流自动化的需求。根据美国人口普查局的数据，美国电子商务销售额从 2019 年的 5,712 亿美元飙升至 2020 年的 8,154 亿美元，增幅高达 43%。这种激增趋势将持续下去，到 2021 年电子商务规模将达到 8,708 亿美元，需要自动化物流解决方案来处理这一规模。

劳动成本上升和劳动力短缺：劳动成本上升和劳动力短缺正在推动企业走向自动化解决方案。美国劳工统计局报告称，运输和仓储行业的平均每小时工资从 2020 年 1 月的 25.13 美元上涨 9.67% 至 2022 年 12 月的 27.56 美元。这一趋势，加上美国劳工部报告的 2021 年仓库工人 57% 的流动率，使得自动化更具吸引力。

增加对智慧仓库的投资：增加对智慧仓库的投资正在推动物流自动化的采用。根据国际机器人联合会（IFR）的数据，2019年至2021年，仓库安装的物流机器人数量增加了84%，仅2021年就安装了超过11.4万台。日本经济产业省报告称，2020年至2022年国内物流自动化市场将成长32%。

主要问题

初始实施成本高：初始实施成本高是采用物流自动化的一个主要障碍，尤其是对中小型企业而言。根据 2022 年物料搬运产业 (MHI) 报告，71% 的公司认为前期成本是实施自动化技术时面临的主要课题。先进自动化协会透露，2021年基础仓库自动化系统的平均初始投资将为200万至400万美元，相当于许多中小企业年销售收入的15%至20%。 "

技术技能差距与劳动力发展：技术技能差距与劳动力发展是自动化采用的关键课题。美国劳工统计局报告称，从 2020 年到 2022 年，机器人技术员和自动化专家的职缺增加了 45%，但只有 27% 的职位得到填补。 2021 年的一项製造业调查发现，77% 的公司在招募和留住具备自动化系统合适技术技能的员工方面面临持续的课题。

系统整合和遗留基础设施 - 系统整合和与遗留基础设施的兼容性是采用自动化的主要障碍。根据国际机器人联合会 (IFR) 2022 年的一项调查，63% 的公司将与现有系统的整合课题列为其最大的技术障碍。根据美国生产力与品质中心 (APQC) 的一项调查，截至 2021 年，58% 的组织仍在运行已有 10 多年历史的传统仓库管理系统，并且在系统兼容性上平均将额外花费 500,000 美元我们需要升级。

主要趋势：

自主移动机器人 (AMR) 和协作机器人 (Cobots)：自主移动机器人 (AMR) 和协作机器人 (Cobots) 正在彻底改变仓库运作。根据国际机器人联合会 (IFR) 的数据，预计 2021 年全球物流领域 AMR 的使用量将比 2020 年增长 42%，达到 85,000 多台。机器人产业协会报告称，2022 年仓库中的协作机器人安装数量将增加 37%，平均投资回报期将从 24 个月缩短至 16 个月。 "

人工智慧预测分析和机器学习：人工智慧预测分析和机器学习的融合在物流自动化中变得越来越普遍。 Gartner 的 2022 年供应链技术调查显示，61% 的供应链组织正在增加对 AI 和 ML 技术的投资，其中 75% 的组织报告库存准确性有所提高，预测误差减少了 32%。世界经济论坛报告称，人工智慧物流解决方案已帮助早期采用者在 2021 年将营运成本降低了 15-20%。 "

基于云端的仓库管理系统 (WMS)：基于云端的仓库管理系统 (WMS) 与物联网 (IoT) 的整合正在获得发展势头。根据 IDC 的《2022 年全球供应链报告》，从 2020 年到 2022 年，基于云端的 WMS 的采用将成长 56%，73% 的物流公司计划到 2024 年投资于支援物联网的自动化。美国商务部报告称，2021 年仓库中物联网设备的采用率年增了 45%，订单准确性提高了 27%。

目录

第 1 章 全球物流自动化市场：简介

市场概况
• 研究范围
• 先决条件

第 2 章执行摘要

第 3 章：经过验证的市场研究方法

• 资料探勘
• 验证
• 主要来源
• 资料来源列表

第 4 章 全球物流自动化市场展望

• 概述
• 市场动态
  • 驱动程式
  • 阻碍因素
  • 机会
• 波特五力模型
• 价值链分析

5. 全球物流自动化市场（按组件划分）

• 概述
• 硬体
• 软体
• 服务

6. 全球物流自动化市场（依功能划分）

• 概述
• 库存和仓储管理
• 运输管理

7. 全球物流自动化市场依组织规模划分

• 概述
• 大型企业
• 中小型企业

第 8 章 全球物流自动化市场（按地区）

• 概述
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
  • 其他欧洲国家
  亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 阿根廷
  • 其他拉丁美洲国家
• 中东和非洲
  • 阿拉伯联合大公国
  • 沙乌地阿拉伯
  • 南非
  • 其他中东和非洲地区

第 9 章 全球物流自动化市场：竞争格局

• 概述
• 各公司的市场排名
• 重大进展
• 公司的地理分布
• 公司产业足迹
• ACE 矩阵

第十章 公司简介

• Honeywell International Inc.
• Siemens AG
• ABB Ltd
• Bosch Rexroth AG
• Fetch Robotics Inc.
• Geek+Robotics
• GreyOrange
• KNEX Logistics Group
• Magazino GmbH
• Swisslog Holding AG

第 11 章 经过验证的市场情报

关于经过验证的市场情报
• 动态资料视觉化

Logistics Automation Market Size And Forecast

Logistics Automation Market size was valued at USD 81.68 Billion in 2023 and is expected to reach USD 202.93 Billion in 2031, at a CAGR of 13.29% over the forecast period of 2024 to 2031.

Logistics automation refers to the application of advanced technologies, including software and automated machinery, to streamline, manage, and optimize various processes within the logistics and supply chain sectors. The key goal is to enhance efficiency, reduce human error, and ensure faster, more accurate deliveries. Automation tools can be deployed across several stages, from inventory management and warehouse operations to transportation and order fulfilment.

In logistics automation, technologies like automated guided vehicles (AGVs), drones, robotics, and conveyor systems handle physical tasks, while software solutions such as warehouse management systems (WMS), transportation management systems (TMS), and artificial intelligence (AI) optimize planning and execution. These technologies help businesses meet increasing consumer demands for faster delivery times, improve operational efficiency, and reduce labour costs.

By automating repetitive and time-consuming tasks, logistics automation reduces human intervention, minimizes the risk of errors, and allows for real-time data monitoring and decision-making. As a result, companies can enhance their overall supply chain performance, improve customer satisfaction, and remain competitive in a rapidly evolving market where agility and accuracy are essential.

Global Logistics Automation Market Dynamics

The key market dynamics that are shaping the global Logistics Automation Market include:

Key Market Drivers

E-commerce Explosion and Digital Transformation- E-commerce Explosion and Digital Transformation accelerated the need for logistics automation. According to the U.S. Census Bureau, e-commerce sales in the United States jumped from $571.2 billion in 2019 to $815.4 billion in 2020, marking a spectacular 43% increase. This surge continued with e-commerce reaching $870.8 billion in 2021, necessitating automated logistics solutions to handle the volume.

Rising Labor Costs and Workforce Shortages- Rising Labor Costs and Workforce Shortages are pushing companies toward automation solutions. The U.S. Bureau of Labor Statistics reported that the average hourly earnings in the transportation and warehousing sector increased from $25.13 in January 2020 to $27.56 in December 2022, a 9.67% increase. This trend, coupled with a 57% warehouse labor turnover rate reported by the U.S. Labor Department in 2021, has made automation increasingly attractive.

Growing Investment in Smart Warehouses- Growing Investment in Smart Warehouses is driving logistics automation adoption. According to the International Federation of Robotics (IFR), installations of logistics robots in warehouses increased by 84% from 2019 to 2021, with over 114,000 units installed in 2021 alone. The Japanese Ministry of Economy, Trade and Industry reported that their domestic Logistics Automation Market grew by 32% between 2020 and 2022.

Key Challenges:

High Initial Implementation Costs - High Initial Implementation Costs remain a significant barrier to logistics automation adoption, particularly for small and medium enterprises (SMEs). According to a 2022 Material Handling Industry (MHI) report, 71% of companies cited initial costs as their primary challenge in implementing automation technologies. The Association for Advancing Automation revealed that the average initial investment for a basic warehouse automation system ranged from $2-4 million in 2021, representing 15-20% of many SMEs' annual revenue."

Technical Skills Gap and Workforce Training - Technical Skills Gap and Workforce Training pose a critical challenge for automation implementation. The U.S. Bureau of Labor Statistics reported that job openings for robotics technicians and automation specialists increased by 45% from 2020 to 2022, while the fill rate remained at just 27%. A 2021 manufacturing study found that 77% of companies face ongoing difficulties in hiring and retaining workers with the right technical skills for automated systems.

System Integration and Legacy Infrastructure - System Integration and Legacy Infrastructure Compatibility creates significant hurdles for automation adoption. According to a 2022 survey by the International Federation of Robotics (IFR), 63% of companies reported integration challenges with existing systems as their top technical barrier. The American Productivity and Quality Center (APQC) found that 58% of organizations in 2021 were still operating with legacy warehouse management systems that were over a decade old, requiring an average additional investment of $500,000 for system compatibility upgrades.

Key Trends:

Autonomous Mobile Robots (AMRs) and Collaborative Robots (Cobots): Autonomous Mobile Robots (AMRs) and Collaborative Robots (Cobots) are revolutionizing warehouse operations. According to the International Federation of Robotics (IFR), the global installation of AMRs in logistics increased by 42% in 2021 compared to 2020, with over 85,000 units deployed. The Robotics Industries Association reported that cobot installations in warehouses grew by 37% in 2022, with the average ROI period decreasing from 24 months to 16 months."

AI-Powered Predictive Analytics and Machine Learning: AI-Powered Predictive Analytics and Machine Learning Integration is becoming increasingly prevalent in logistics automation. Gartner's 2022 Supply Chain Technology Survey revealed that 61% of supply chain organizations increased their investment in AI and ML technologies, with 75% reporting improved inventory accuracy and 32% reduction in forecasting errors. The World Economic Forum reported that AI-driven logistics solutions helped reduce operational costs by 15-20% in 2021 for early adopters."

Cloud-Based Warehouse Management Systems (WMS): Cloud-Based Warehouse Management Systems (WMS) and Internet of Things (IoT) Integration are gaining significant traction. According to IDC's Worldwide Supply Chain Report 2022, cloud-based WMS adoption grew by 56% from 2020 to 2022, with 73% of logistics companies planning to invest in IoT-enabled automation by 2024. The U.S. Department of Commerce reported that IoT device implementations in warehouses increased by 45% year-over-year in 2021, resulting in a 27% improvement in order accuracy.

Global Logistics Automation Market Regional Analysis

Here is a more detailed regional analysis of the global Logistics Automation Market:

North America

North America dominates the Global Logistics Automation Market owing to the region's robust e-commerce infrastructure and high consumer adoption rates drive significant investment in logistics automation. According to the U.S. Department of Commerce, U.S. e-commerce sales reached $1.03 trillion in 2022, a 42% increase from 2020 levels. The U.S. Census Bureau reported that e-commerce penetration in retail sales grew from 15.8% in 2020 to 21.3% in 2022, necessitating advanced automation solutions to handle increasing order volumes.

Rising labor costs and workforce shortages in North America are accelerating automation adoption. The U.S. Bureau of Labor Statistics reported that warehouse labor costs increased by 12.5% between 2020-2022, with average hourly wages rising from $22.15 to $24.91. Additionally, according to the American Trucking Association, the U.S. warehousing sector faced a labor shortage of approximately 450,000 workers in 2022, pushing companies toward automated solutions to maintain operational efficiency.

Strong presence of major technology providers and substantial R&D investment in North America fuels market growth. The National Science Foundation reported that U.S. companies invested $52.6 billion in logistics and supply chain automation R&D in 2021, a 34% increase from 2020. North American companies ordered a record 44,196 robots in 2022, representing a 47% increase over 2020, with the logistics sector accounting for 35% of these orders.

Asia Pacific

The Asia-Pacific region is the fastest-growing region in the Global Logistics Automation Market owing to the rapid E-commerce Growth and Digital Transformation in Asia Pacific is driving unprecedented demand for logistics automation. According to the Asian Development Bank, the region's e-commerce market grew from $1.5 trillion in 2020 to $2.6 trillion in 2022, representing a 73% increase. China's National Bureau of Statistics reported that online retail sales reached ¥13.8 trillion ($2.1 trillion) in 2022, up 37% from 2020, creating massive demand for automated logistics solutions.

Government Initiatives and Investment in Smart Manufacturing across the Asia Pacific are accelerating automation adoption. Japan's Ministry of Economy, Trade and Industry reported that government investment in logistics automation increased by 45% between 2020-2022, reaching $8.2 billion. Similarly, South Korea's Ministry of Trade, Industry and Energy announced that under its Manufacturing Renaissance Vision 2030, investments in smart logistics increased by 56% from 2020 to 2022, reaching $4.5 billion.

Rising Labor Costs and Aging Population in Key Asian Economies are pushing businesses toward automation solutions. According to the International Labor Organization, average manufacturing wages in Southeast Asia increased by 28.5% between 2020 and 2022. In Japan, the Ministry of Health, Labor and Welfare reported that the working-age population decreased by 3.2% annually between 2020-2022, while logistics automation adoption increased by 41% during the same period to compensate for labor shortages.

Global Logistics Automation Market Segmentation Analysis

The Global Logistics Automation Market is Segmented on the basis of Component, Function, and Organization Size.

Logistics Automation Market, By Component

• Hardware
• Software
• Services

Based on Components, The market is bifurcated into Hardware, Software, and Services. Software is the most dominant segment in the Global Logistics Automation Market as interest in the efficiency and effectiveness of logistics operations increasingly relies on advanced digital platforms and systems that manage complex processes. Software such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Enterprise Resource Planning (ERP) platforms enable real-time monitoring, data-driven decision-making, and optimization of inventory, transportation, and order fulfillment processes.

Logistics Automation Market, By Function

• Inventory & Storage Management
• Transportation Management

Based on Function, The market is bifurcated into Inventory & Storage Management and transportation Management. The Transportation Management segment is dominant in the Global Logistics Automation Market, as optimizing transportation routes, fleet management, and delivery times directly impacts operational efficiency, cost reduction, and meeting rising consumer expectations for fast deliveries.

Logistics Automation Market, By Organization Size

• Large Enterprises
• Small & Medium Enterprises

Based on Organization Size, The market is bifurcated into Large Enterprises, Small & Medium Enterprises. Large enterprises dominate the Global Logistics Automation Market owing to their greater financial resources, complex supply chains, and higher demand for advanced automation technologies to manage large-scale operations efficiently and stay competitive.

Key Players

The "Global Logistics Automation Market" study report will provide valuable insight with an emphasis on the global market including some of the major players of the industry are Honeywell International Inc., Siemens AG, ABB Ltd, Bosch Rexroth AG, Fetch Robotics Inc., Geek+ Robotics, GreyOrange, KNEX Logistics Group, Magazino GmbH, Swisslog Holding AG.

• This section offers in-depth analysis through a company overview, position analysis, the regional and industrial footprint of the company, and the ACE matrix for insightful competitive analysis. The section also provides an exhaustive analysis of the financial performances of mentioned players in the given market.

Our market analysis offers detailed information on major players wherein our analysts provide insight into the financial statements of all the major players, product portfolio, product benchmarking, and SWOT analysis.

• Global Logistics Automation Market Recent Developments
• In March 2023, Honeywell International Inc. announced the launch of its new "Smart Flexible Depalletizer" solution, powered by artificial intelligence and advanced machine learning.
• In December 2022, ABB Ltd. announced the acquisition of ASTI Mobile Robotics Group for $190 million, expanding its autonomous mobile robot (AMR) portfolio.
• In April 2022, KION Group announced the launch of its new automated storage and retrieval system (AS/RS), "MaxX," designed specifically for high-density storage in small spaces.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL LOGISTICS AUTOMATION MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL LOGISTICS AUTOMATION MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL LOGISTICS AUTOMATION MARKET, BY COMPONENT

• 5.1 Overview
• 5.2 Hardware
• 5.3 Software
• 5.4 Services

6 GLOBAL LOGISTICS AUTOMATION MARKET, BY FUNCTION

• 6.1 Overview
• 6.2 Inventory & Storage Management
• 6.3 Transportation Management

7 GLOBAL LOGISTICS AUTOMATION MARKET, BY ORGANIZATION SIZE

• 7.1 Overview
• 7.2 Large Enterprises
• 7.3 Small & Medium Enterprises

8 GLOBAL LOGISTICS AUTOMATION MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Italy
  • 8.3.5 Spain
  • 8.3.6 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Argentina
  • 8.5.3 Rest of Latin America
• 8.6 Middle East and Africa
  • 8.6.1 UAE
  • 8.6.2 Saudi Arabia
  • 8.6.3 South Africa
  • 8.6.4 Rest of Middle-East and Africa

9 GLOBAL LOGISTICS AUTOMATION MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Developments
• 9.4 Company Regional Footprint
• 9.5 Company Industry Footprint
• 9.6 ACE Matrix

10 COMPANY PROFILES

• 10.1 Honeywell International Inc.
  • 10.1.1 Company Overview
  • 10.1.2 Company Insights
  • 10.1.3 Product Benchmarking
  • 10.1.4 Key Developments
  • 10.1.5 Winning Imperatives
  • 10.1.6 Current Focus & Strategies
  • 10.1.7 Threat from Competition
  • 10.1.8 SWOT Analysis
• 10.2 Siemens AG
  • 10.2.1 Company Overview
  • 10.2.2 Company Insights
  • 10.2.3 Product Benchmarking
  • 10.2.4 Key Developments
  • 10.2.5 Winning Imperatives
  • 10.2.6 Current Focus & Strategies
  • 10.2.7 Threat from Competition
  • 10.2.8 SWOT Analysis
• 10.3 ABB Ltd
  • 10.3.1 Company Overview
  • 10.3.2 Company Insights
  • 10.3.3 Product Benchmarking
  • 10.3.4 Key Developments
  • 10.3.5 Winning Imperatives
  • 10.3.6 Current Focus & Strategies
  • 10.3.7 Threat from Competition
  • 10.3.8 SWOT Analysis
• 10.4 Bosch Rexroth AG
  • 10.4.1 Company Overview
  • 10.4.2 Company Insights
  • 10.4.3 Product Benchmarking
  • 10.4.4 Key Developments
  • 10.4.5 Winning Imperatives
  • 10.4.6 Current Focus & Strategies
  • 10.4.7 Threat from Competition
  • 10.4.8 SWOT Analysis
• 10.5 Fetch Robotics Inc.
  • 10.5.1 Company Overview
  • 10.5.2 Company Insights
  • 10.5.3 Product Benchmarking
  • 10.5.4 Key Developments
  • 10.5.5 Winning Imperatives
  • 10.5.6 Current Focus & Strategies
  • 10.5.7 Threat from Competition
  • 10.5.8 SWOT Analysis
• 10.6 Geek+ Robotics
  • 10.6.1 Company Overview
  • 10.6.2 Company Insights
  • 10.6.3 Product Benchmarking
  • 10.6.4 Key Developments
  • 10.6.5 Winning Imperatives
  • 10.6.6 Current Focus & Strategies
  • 10.6.7 Threat from Competition
  • 10.6.8 SWOT Analysis
• 10.7 GreyOrange
  • 10.7.1 Company Overview
  • 10.7.2 Company Insights
  • 10.7.3 Product Benchmarking
  • 10.7.4 Key Developments
  • 10.7.5 Winning Imperatives
  • 10.7.6 Current Focus & Strategies
  • 10.7.7 Threat from Competition
  • 10.7.8 SWOT Analysis
• 10.8 KNEX Logistics Group
  • 10.8.1 Company Overview
  • 10.8.2 Company Insights
  • 10.8.3 Product Benchmarking
  • 10.8.4 Key Developments
  • 10.8.5 Winning Imperatives
  • 10.8.6 Current Focus & Strategies
  • 10.8.7 Threat from Competition
  • 10.8.8 SWOT Analysis
• 10.9 Magazino GmbH
  • 10.9.1 Company Overview
  • 10.9.2 Company Insights
  • 10.9.3 Product Benchmarking
  • 10.9.4 Key Developments
  • 10.9.5 Winning Imperatives
  • 10.9.6 Current Focus & Strategies
  • 10.9.7 Threat from Competition
  • 10.9.8 SWOT Analysis
• 10.10 Swisslog Holding AG
  • 10.10.1 Company Overview
  • 10.10.2 Company Insights
  • 10.10.3 Product Benchmarking
  • 10.10.4 Key Developments
  • 10.10.5 Winning Imperatives
  • 10.10.6 Current Focus & Strategies
  • 10.10.7 Threat from Competition
  • 10.10.8 SWOT Analysis

11 VERIFIED MARKET INTELLIGENCE

• 11.1 About Verified Market Intelligence
• 11.2 Dynamic Data Visualization